Published
Edited
Mar 22, 2018
vegalite({
width: width-200,
height: 300,
layer: [{
data: {values: original_data},
mark: { type: "line",
"interpolate": "step-before" },
encoding: {
x: {field: 'first column', type: 'ordinal' },
y: {field: 'second column', type: 'quantitative'}
}
}
]
})
vegalite({
width: width-200,
height: 300,
layer: [{
data: {values: expand_data(compressed_data)},
mark: { type: "line",
"interpolate": "step-before" },
encoding: {
x: {field: 'first column', type: 'ordinal' },
y: {field: 'second column', type: 'quantitative'}
}
}
]
})
expand_data = compressed => {
const expanded = [];
const keys = compressed.map( r => Object.keys(r)[0]);
const keys_count = compressed.length;
const row_count = compressed[0][keys[0]].length;
for (let i = 0; i< row_count; i++) {
const new_row = {};
for (let j = 0; j < keys_count; j++) {
new_row[keys[j]] = compressed[j][keys[j]][i]
}
expanded.push(new_row);
}
return expanded;
}
vegalite({
data: {values: primatives},
mark: "bar",
encoding: {
x: {field: "data.weight", type: 'quantitative'},
y: {field: 'count', type: 'quantitative'},
color: {field: 'data.color'}
}
})
primatives = {
let apple = { label: 'apple', count: 15, data: { size: 'small', weight: 12, color: 'red'} };
let orange = { label: 'orange', count: 20, data: {size: 'small', weight: 20, color: 'orange'}};
let melon = {label: 'melon', count: 3, data: {size: 'large', weight: 50, color: 'green' }};
return [apple, orange, melon];
}
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